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Author: Lev Manovich
Publisher: MIT Press
ISBN: 0262360632
Category : Computers
Languages : en
Pages : 332
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Book Description
A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on social media every day, the hundreds of millions of songs created by twenty million musicians on Soundcloud, the content of four billion Pinterest boards? In Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data. Drawing on more than a decade of research and projects from his own lab, Manovich offers a gentle, nontechnical introduction to the core ideas of data analytics and discusses the ways that our society uses data and algorithms.
Author: Lev Manovich
Publisher: MIT Press
ISBN: 0262360632
Category : Computers
Languages : en
Pages : 332
Get Book Here
Book Description
A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on social media every day, the hundreds of millions of songs created by twenty million musicians on Soundcloud, the content of four billion Pinterest boards? In Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data. Drawing on more than a decade of research and projects from his own lab, Manovich offers a gentle, nontechnical introduction to the core ideas of data analytics and discusses the ways that our society uses data and algorithms.
Author: Laurie A. Schintler
Publisher: Springer
ISBN: 9783319320090
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” Social media and crowdsourcing platforms and various applications ― “apps” ― are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment. The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day. Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe. Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data. Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data. In this context, the Encyclopedia of Big Data is being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond. While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large. With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more. Moreover, the use of Big Data has been well established beyond the Ivory Tower. In today’s economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions. In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general. Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself. Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective. The Encyclopedia of Big Data will address this need and will be the first of such reference books to do so. Featuring some 500 entries, from "Access" to "Zillow," the Encyclopedia will serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors. Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use. Ultimately, the Encyclopedia of Big Data will provide a common platform and language covering the breadth and depth of the topic for different segments, sectors, and disciplines.
Author: Abdelhak Belhi
Publisher: Springer Nature
ISBN: 3030667774
Category : Technology & Engineering
Languages : en
Pages : 288
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Book Description
This book considers the challenges related to the effective implementation of artificial intelligence (AI) and machine learning (ML) technologies to the cultural heritage digitization process. Particular focus is placed on improvements to the data acquisition stage, as well as the data enrichment and curation stages, using advanced artificial intelligence techniques and tools. An emphasis is placed on recent applications related to deep learning for visual recognition, generative models, natural language processing, and super resolution. The book is a valuable reference for researchers working in the multidisciplinary field of cultural heritage and AI, as well as professional experts in the art and culture domains, such as museums, libraries, and historic sites and buildings. Reports on techniques and methods that leverage AI and machine learning and their impact on the digitization of cultural heritage; Addresses challenges of improving data acquisition, enrichment and management processes; Highlights contributions from international researchers from diverse fields and subject areas.
Author: Richard Jean So
Publisher: Columbia University Press
ISBN: 0231552319
Category : Literary Criticism
Languages : en
Pages : 155
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Book Description
The canon of postwar American fiction has changed over the past few decades to include far more writers of color. It would appear that we are making progress—recovering marginalized voices and including those who were for far too long ignored. However, is this celebratory narrative borne out in the data? Richard Jean So draws on big data, literary history, and close readings to offer an unprecedented analysis of racial inequality in American publishing that reveals the persistence of an extreme bias toward white authors. In fact, a defining feature of the publishing industry is its vast whiteness, which has denied nonwhite authors, especially black writers, the coveted resources of publishing, reviews, prizes, and sales, with profound effects on the language, form, and content of the postwar novel. Rather than seeing the postwar period as the era of multiculturalism, So argues that we should understand it as the invention of a new form of racial inequality—one that continues to shape the arts and literature today. Interweaving data analysis of large-scale patterns with a consideration of Toni Morrison’s career as an editor at Random House and readings of individual works by Octavia Butler, Henry Dumas, Amy Tan, and others, So develops a form of criticism that brings together qualitative and quantitative approaches to the study of literature. A vital and provocative work for American literary studies, critical race studies, and the digital humanities, Redlining Culture shows the importance of data and computational methods for understanding and challenging racial inequality.
Author: Mirko Tobias Schäfer
Publisher:
ISBN: 9789462981362
Category : Big data
Languages : en
Pages : 267
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Book Description
The ability to gather data that can be crunched by machines is valuable for studying society. The new methods needed to work it require new skills and new ways of thinking about best research practices. This book reflects on the role and usefulness of big data, challenging overly optimistic expectations about what it can reveal, introducing practices and methods for its analysis and visualization, and raising important political and ethical questions regarding its collection, handling, and presentation.
Author: Martin Engebretsen
Publisher: Amsterdam University Press
ISBN: 9463722904
Category : Computers
Languages : en
Pages : 466
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Book Description
Today we are witnessing an increased use of data visualization in society. Across domains such as work, education and the news, various forms of graphs, charts and maps are used to explain, convince and tell stories. In an era in which more and more data are produced and circulated digitally, and digital tools make visualization production increasingly accessible, it is important to study the conditions under which such visual texts are generated, disseminated and thought to be of societal benefit. This book is a contribution to the multi-disciplined and multi-faceted conversation concerning the forms, uses and roles of data visualization in society. Do data visualizations do 'good' or 'bad'? Do they promote understanding and engagement, or do they do ideological work, privileging certain views of the world over others? The contributions in the book engage with these core questions from a range of disciplinary perspectives.
Author: Tomás Dvo?ák
Publisher: Technicities
ISBN: 9781474478816
Category :
Languages : en
Pages : 312
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Book Description
These essays address the epistemological, aesthetic and political implications of scale in both scholarly and artistic work. From the mass image in vernacular culture to transformations of photography in contexts of big data and artificial intelligence, they explore the massification of photography.
Author: Gary Hall
Publisher: MIT Press
ISBN: 0262332221
Category : Social Science
Languages : en
Pages : 263
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Book Description
How philosophers and theorists can find new models for the creation, publication, and dissemination of knowledge, challenging the received ideas of originality, authorship, and the book. In Pirate Philosophy, Gary Hall considers whether the fight against the neoliberal corporatization of higher education in fact requires scholars to transform their own lives and labor. Is there a way for philosophers and theorists to act not just for or with the antiausterity and student protestors—“graduates without a future”—but in terms of their political struggles? Drawing on such phenomena as peer-to-peer file sharing and anticopyright/pro-piracy movements, Hall explores how those in academia can move beyond finding new ways of thinking about the world to find instead new ways of being theorists and philosophers in the world. Hall describes the politics of online sharing, the battles against the current intellectual property regime, and the actions of Anonymous, LulzSec, Aaron Swartz, and others, and he explains Creative Commons and the open access, open source, and free software movements. But in the heart of the book he considers how, when it comes to scholarly ways of creating, performing, and sharing knowledge, philosophers and theorists can challenge not just the neoliberal model of the entrepreneurial academic but also the traditional humanist model with its received ideas of proprietorial authorship, the book, originality, fixity, and the finished object. In other words, can scholars and students today become something like pirate philosophers?
Author: Lídia Oliveira
Publisher:
ISBN: 9781799885283
Category : Digital communications
Languages : en
Pages :
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Book Description
"This book is aimed at researchers who want to improve their understanding of the strategic role of new digital technologies in the field of cultural tourism, offering innovative research results within the scope of the interdisciplinary cross between Digital Communications, Internet of Things, and Cultural Tourism"--
Author: Denise M. Nicholson
Publisher: CRC Press
ISBN: 1466556870
Category : Technology & Engineering
Languages : en
Pages : 474
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Book Description
This volume explores decision-making styles, including cooperative, collaborative, avoidant, competitive, and dominate that are commonly modified by the culture. Culture is not a stagnant phenomenon, and many variables need to be considered to accurately evaluation cultural differences in decision-making styles. Among many cultural factors, the ind
